This study investigates the layered oxide cathode with NMC-type LiNixMnyCozO2 as the alternative cathode material for lithium ion batteries. This material has attracted the researcher’s interest as alternative cathode ...

Due to the demands of nickel, substantial effort has been put into the recovery of pentlandite. Enhancing the separation of pentlandite minerals from the gangue in the extracted ores remains a problem. Pentlandite is the ...

The aim of this study was to investigate the anti-stress properties of the A. afra essential oil in Oreochromis mossambicus and Clarias gariepinus subjected to different stressors, namely handling, feed deprivation and ...

Extreme rainfall has become a prevailing natural disaster in the region of Southern Africa. Flooding is one of the natural disasters that pose damage to property, infrastructure, and human lives. This study conducted a ...

The current study presented a comprehensive analysis of O. mossambicus and its possible hybrids inhabiting four localities, with a focus on morphometric and genetic assessments to identify species and hybridization patterns. ...

Toggenburg dairy goats, which are valued for their versatility and excellent milk production under a variety of environmental conditions, are essential to the South African dairy industry. The aim of this study was to ...

Haematological parameters may be affected by several internal and external factors making their interpretation more challenging. Non-genetic factors are known to have an influence on haematological parameters of sheep, ...

In rural households, donkeys are frequently seen as significant assets that support sustainable revenue generation and a way of life. Donkey farming is negatively perceived or viewed as a low-class or old-fashioned type ...

Tillering is one of sorghum’s adaptive traits to water availability, which can ‘make or break’ crop yields depending on cultivar genetics. The complex interaction between water availability and genetic expression makes ...

The transformer-based machine learning technique is a deep learning model that processes the sequential input data using an encoder-decoder process. Transformers process the input data simultaneously using a parallelism ...